| IEICE Technical Committee Submission System Conference Schedule |
Online Proceedings [Sign in] Tech. Rep. Archives |
All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| IBISML | 2015-03-06 15:15 |
Kyoto | Kyoto University | Recognition of daily-life actions by machine learning methods Yu Kodama, Shigeyuki Oba, Shin Ishii (Kyoto Univ.)  IBISML2014-95 |
In recent years, many researchers in computer vision are interested in human action recognition, whose improvement would... [more] | IBISML2014-95 pp.73-78 |
| KBSE | 2015-03-06 10:00 |
Tokyo | The University of Electro-Communications | Gesture Recognition for Cooking Assistant System Yuma Hijioka, Makoto Murakami, Tadahiko Kimoto (Toyo Univ.) KBSE2014-60 |
Our purpose is to recognize cooking gesture for showing cooking information on time. We make models for cooking gesture... [more] |
KBSE2014-60 pp.49-53 |
| HCGSYMPO (2nd) |
2014-12-17 - 2014-12-19 |
Yamaguchi | Kaikyo Messe Shimonoseki | Investigation of Features for Sign Language Recognition Using Kinect Yoshihiro Furuya, Yasuo Horiuchi, Kazuhiko Kawamoto (Chiba Univ.), Masayoshi Shimomoto, Koichi Masaki (MHIR), Shingo Kuroiwa (Chiba Univ.), Hirokazu Suzuki (MHIR) |
In this paper, we will discuss a sign language recognition method using Kinect. The hand location, the hand movement and... [more] | |
| SP | 2014-11-13 14:35 |
Fukuoka | Kyushu Univ. Chikushi Campus | Shared emotion additive model for HMM-based emotional speech synthesis Yamato Ohtani, Yu Nasu, Ryo Morinaka, Masatsune Tamura, Masahiro Morita, Masami Akamine (Toshiba) SP2014-92 |
We have proposed an emotion addition method based on additive structure in HMM-based speech synthesis. This technique ... [more] |
SP2014-92 pp.13-18 |
| SP, IPSJ-MUS | 2014-05-24 11:30 |
Tokyo | Underdetermined Blind Separation of Moving Sources Based on Probabilistic Modeling Takuya Higuchi, Norihiro Takamune, Tomohiko Nakamura (Univ. of Tokyo), Hirokazu Kameoka (Univ. of Tokyo/NTT) SP2014-20 |
This paper deals with the problem of the underdetermined blind separation and tracking of moving sources. In practical s... [more] | SP2014-20 pp.211-216 |
|
| SP, IPSJ-MUS | 2014-05-25 11:30 |
Tokyo | Text-to-speech prosody synthesis based on probabilistic model for F0 contour Kento Kadowaki, Tatsuma Ishihara, Nobukatsu Hojo (Univ. of Tokyo), Hirokazu Kameoka (Univ. of Tokyo/NTT) SP2014-28 |
This paper deals with the problem of generating the fundamental frequency (F0) contour of speech from a text input for t... [more] | SP2014-28 pp.309-314 |
|
| NC, MBE (Joint) |
2014-03-18 15:00 |
Tokyo | Tamagawa University | Human Activity Rcognition with Skeleton-data and Structured Hierarchical Hidden Markov Model Tomoji Sawada, Shin-ichi Maeda, Shin Ishii (Kyoto Univ.) NC2013-141 |
Recognition of human activities nowadays is used not only for monitoring system, but also interface, motion analysis of... [more] |
NC2013-141 pp.305-310 |
| NC, MBE (Joint) |
2014-03-17 10:20 |
Tokyo | Tamagawa University | Chronological change of understanding states using hidden Markov models and eye movement features Minoru Nakayama, Naoya Takahashi (Tokyo Inst. of Tech.) MBE2013-117 |
The possibility of predicting viewer's internal states was determined using the hidden Markov model (HMM) and several ... [more] |
MBE2013-117 pp.13-18 |
| SIS | 2014-03-06 11:20 |
Osaka | Gran Front Osaka, Knowledge Capital C-9F, 901 | About the Speech Recognition of Acoustically Similar Words under the Noise Environment Yoshiyuki Miyazaki, Yasuhito Arakane (RayTron), Yoshikazu Miyanaga (Hokkaido Univ.) SIS2013-57 |
In this paper, we propose the method which improves the speech recognition accuracy of acoustically similar words. For e... [more] | SIS2013-57 pp.11-16 |
| SIS | 2014-03-06 13:20 |
Osaka | Gran Front Osaka, Knowledge Capital C-9F, 901 | Object Tracking in Crowded Scenes by Dependent Dirichlet Process Hidden Markov Model Katsuya Kondo, Takuya Okamoto (Tottori Univ.) SIS2013-60 |
In crowded scenes where it is generally difficult to track moving objects, detection and tracking of objects are very ch... [more] | SIS2013-60 pp.27-30 |
| HCGSYMPO (2nd) |
2013-12-18 - 2013-12-20 |
Ehime | Matsuyama Multi-Purpose Community Cente | Prediction of Individual Comfort Using Vital Data for Air Conditioning Control Eisaku Ko, Chika Sugimoto, Ryuji Kohno (Yokohama Natuonal Univ) |
This paper shows the prediction of individual comfort based vital data for air-conditioning control. The thermal comfort... [more] | |
| HCGSYMPO (2nd) |
2013-12-18 - 2013-12-20 |
Ehime | Matsuyama Multi-Purpose Community Cente | The action strategy of the mah-jong using an interdependence probability model Shogo Takahashi, Jun Rokui (Shima Univ) |
An information game problem is divided into a perfect information game and an incomplete information game. It is classif... [more] | |
| PRMU | 2013-12-13 15:40 |
Mie | Handwritten digit recognition from writing sound using HMM Shinji Kitano, Takanori Nishino, Hiroshi Naruse (Mie Univ) PRMU2013-88 |
There are acoustic signals such as speech and music which have some information, and noises which are meaningless sound ... [more] | PRMU2013-88 pp.121-125 |
|
| IE, ICD, VLD, IPSJ-SLDM [detail] | 2013-10-07 16:05 |
Aomori | A 2.4x-Real-Time VLSI Processor for 60-kWord Continuous Speech Recognition Guangji He, Yuki Miyamoto, Kumpei Matsuda, Shintaro Izumi, Hiroshi Kawaguchi, Masahiko Yoshimoto (Kobe Univ) VLD2013-52 ICD2013-76 IE2013-52 |
This paper describes a low-power VLSI chip for speaker-independent 60-kWord continuous speech recognition based on a co... [more] | VLD2013-52 ICD2013-76 IE2013-52 pp.29-34 |
|
| PRMU | 2013-03-15 16:00 |
Tokyo | Writing Style-free Aerial Handwritten Character Recognition Mitsuru Nakai, Hiroshi Kusajima, Takahiro Nagai (Toyama Pref. Univ.) PRMU2012-221 |
This paper proposed a new aerial handwriting recognition method using 3-dimensinal acceleration sensors, by which we can... [more] | PRMU2012-221 pp.243-248 |
|
| SIP, CAS, CS | 2013-03-15 15:35 |
Yamagata | Keio Univ. Tsuruoka Campus (Yamagata) | Towards driving behavior prediction: Applying nonparametric Bayesian approach to driving operation time series data Ryunosuke Hamada, Takatomi Kubo, Kazushi Ikeda, Zujie Zhang, Tomohiro Shibata (NAIST), Takashi Bando, Masumi Egawa (DENSO) CAS2012-142 SIP2012-173 CS2012-148 |
Prediction of driving behaviors is important problem in developing a next-generation driving support system. In order to... [more] | CAS2012-142 SIP2012-173 CS2012-148 pp.265-270 |
| MVE, IE, WIT, IMQ, CQ (Joint) [detail] |
2013-03-12 11:35 |
Fukuoka | Fukuoka Institute of Technology | Sign Language Recognition Using Kinect and Particle Filter Yoshihiro Furuya, Daisuke Imamura, Yasuo Horiuchi, Kazuhiko Kawamoto, Takahiro Shinozaki, Shingo Kuroiwa (Chiba Univ.) IMQ2012-79 IE2012-183 MVE2012-140 WIT2012-89 |
In this paper, we will discuss a sign language recognition method using a Particle Filter and Kinect. We have previously... [more] | IMQ2012-79 IE2012-183 MVE2012-140 WIT2012-89 pp.251-256 |
| SP | 2013-02-28 15:00 |
Aichi | Daido University | [Poster Presentation]
Autocorrelation-based Representation of Prosodic Feature for Accent Type Recognition Yusuke Onishi, Mitsuru Nakai (Toyama Pref. Univ.) SP2012-123 |
In this paper, we used autocorrelation coefficients of speech wave form as prosodic features. In experiments, we evaluat... [more] | SP2012-123 pp.29-30 |
| SP | 2013-02-28 15:00 |
Aichi | Daido University | [Poster Presentation]
Comparison of classification methods for multi-modal voice activity detection Hiroya Okuda, Satoshi Tamura, Satoru Hayamizu (Gifu Univ.) SP2012-124 |
Automatic Speech Recognition (ASR) technology has been developed and used in various situations, such as car navigation ... [more] | SP2012-124 pp.31-32 |
| PRMU | 2013-02-22 09:30 |
Osaka | Extended separable lattice HMMs based on state duration control for recognition of images with variations Takaya Makino, Shinji Takaki, Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda (Nagoya Inst. of Tech.) PRMU2012-164 |
In this paper, an extension of separable lattice HMMs is described that (SL-HMM) introduces state duration control for d... [more] | PRMU2012-164 pp.149-154 |
|
[Return to Top Page]